Operations Research and Financial Engineering
Items (Sorted by Submit Date in Descending order): 21 to 40 of 79
Issue Date | Title | Author(s) |
2020 | Latent Variable Models: Spectral Methods and Non-convex Optimization | Wang, Kaizheng |
2019 | A Regime-Aware Agent-Based Framework for Financial Planning | Hao, Han |
2019 | Integrable models, Coulomb interactions, and mean field game theory | Cerenzia, Mark Joseph |
2019 | Spectral methods and MLE: a modern statistical perspective | Zhong, Yiqiao |
2019 | Lookahead Approximations for Online Learning with Nonlinear Parametric Belief Models | Han, Weidong |
2019 | High-Dimensional Optimization Problems in Decision-Making and Discrete Geometry | Naghib, Elahesadat |
2019 | Modern Optimization for Statistics and Learning | Eisenach, Carson |
2019 | Finite State Mean Field Games | Wang, Peiqi |
2019 | Statistical Optimization for High Dimensional Machine Learning with Privacy and Sparsity Constraints | Ge, Jason |
2018 | Portfolio Optimization with Mean-reverting Assets: Combining Theory with Deep Learning. | Ye, Jing |
2018 | Nonconvex Statistical Optimization | Wang, Zhaoran |
2018 | Knowledge gradient for expensive locally quadratic functions and stochastic optimization of aid allocation | Aboagye, Nana |
2018 | Mean Field Games with Major and Minor Players | Zhu, Xiuneng |
2018 | Optimization over Nonnegative and Convex Polynomials with and without Semidefinite Programming | Hall, Georgina |
2018 | Multistage Stochastic Programming with Parametric Cost Function Approximations | Perkins, Raymond Theodore |
2018 | Robust Dependence-Adjusted Methods for High Dimensional Data | Bose, Koushiki |
2018 | Distributed and Robust Statistical Learning | Zhu, Ziwei |
2018 | Combinatorial Inference for Large-Scale Data Analysis | Lu, Junwei |
2018 | Thompson Sampling for Bandit Problems | LIU, CHE-YU |
2017 | Game Theoretic and Financial Models for Energy Commodities and Futures Prices | Funk, Jacob James |
Items (Sorted by Submit Date in Descending order): 21 to 40 of 79